Examples
This section provides documented code examples for common siibra-python workflows. The examples are organized by the main concepts used throughout the package: reference atlases, brain-region terminologies, maps, reference spaces, locations, anatomical assignment, and multimodal data features.
The examples are intended to complement the concept guide and the generated API reference. For conceptual background, see Main Concepts. For function and class details, see API References.
Label |
Meaning |
|---|---|
Basic |
Short example introducing one main concept. |
Intermediate |
Example combining several concepts. |
Advanced |
Examples assuming familiarity with siibra concepts. |
Research workflow |
Notebook organized around a research-style question or analysis. |
Atlases and brain-region terminologiesFind reference atlases, parcellations, and brain areas. These examples introduce the anatomical concepts used to organize atlas content.
Access annotation maps and reference templates in supported coordinate systems. These examples cover labelled and statistical maps, spaces, and image data retrieval.
Query data features linked to brain areas or spatial locations. These examples cover cellular, molecular, functional, connectivity, and other multimodal feature types.
Define points, point clouds, bounding boxes, and other spatial objects in reference coordinate systems. These examples show how locations are used in atlas workflows.
Assign coordinates, regions of interest, and image maps to brain areas using labelled or statistical maps of brain parcellations and regions.
Work through longer examples that combine several siibra concepts and features in reproducible analysis workflows.